{"id":"https://openalex.org/W2086374833","doi":"https://doi.org/10.1109/cvpr.2008.4587420","title":"Using contours to detect and localize junctions in natural images","display_name":"Using contours to detect and localize junctions in natural images","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2086374833","doi":"https://doi.org/10.1109/cvpr.2008.4587420","mag":"2086374833"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001371942","display_name":"Michael Maire","orcid":"https://orcid.org/0000-0002-9778-6673"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michael Maire","raw_affiliation_strings":["University of California, Berkeley, CA, USA","California University, Berkeley, CA#TAB#"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"California University, Berkeley, CA#TAB#","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013512298","display_name":"Pablo Arbel\u00e1ez","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pablo Arbelaez","raw_affiliation_strings":["University of California, Berkeley, CA, USA","California University, Berkeley, CA#TAB#"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"California University, Berkeley, CA#TAB#","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044978076","display_name":"Charless C. Fowlkes","orcid":"https://orcid.org/0000-0002-2990-1780"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charless Fowlkes","raw_affiliation_strings":["University of California, Irvine, CA, USA","University of California, Irvine 92697, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]},{"raw_affiliation_string":"University of California, Irvine 92697, USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001594573","display_name":"Jitendra Malik","orcid":"https://orcid.org/0000-0003-3695-1580"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jitendra Malik","raw_affiliation_strings":["University of California, Berkeley, CA, USA","University of California, Berkeley 94720, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"University of California, Berkeley 94720, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001371942"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":39.3332,"has_fulltext":false,"cited_by_count":405,"citation_normalized_percentile":{"value":0.99867267,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7427509427070618},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7066512703895569},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6654723286628723},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6609768271446228},{"id":"https://openalex.org/keywords/salience","display_name":"Salience (neuroscience)","score":0.5483236908912659},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5303274989128113},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.506662905216217},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4420314431190491},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.43020766973495483},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42586076259613037},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4250686466693878},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3520105481147766},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.34262803196907043},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09346777200698853},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07547730207443237}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7427509427070618},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7066512703895569},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6654723286628723},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6609768271446228},{"id":"https://openalex.org/C108154423","wikidata":"https://www.wikidata.org/wiki/Q1469792","display_name":"Salience (neuroscience)","level":2,"score":0.5483236908912659},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5303274989128113},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.506662905216217},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4420314431190491},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.43020766973495483},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42586076259613037},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4250686466693878},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3520105481147766},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.34262803196907043},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09346777200698853},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07547730207443237},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2008.4587420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320333591","display_name":"Multidisciplinary University Research Initiative","ror":null},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1528420426","https://openalex.org/W1578099820","https://openalex.org/W1587669286","https://openalex.org/W2002260191","https://openalex.org/W2015206503","https://openalex.org/W2052098018","https://openalex.org/W2109200236","https://openalex.org/W2111308925","https://openalex.org/W2114487471","https://openalex.org/W2115193009","https://openalex.org/W2117193984","https://openalex.org/W2119823327","https://openalex.org/W2120200937","https://openalex.org/W2120931403","https://openalex.org/W2121947440","https://openalex.org/W2122903255","https://openalex.org/W2128004102","https://openalex.org/W2133267925","https://openalex.org/W2141376824","https://openalex.org/W2142707712","https://openalex.org/W2144967509","https://openalex.org/W2145023731","https://openalex.org/W2160411867","https://openalex.org/W2161595292","https://openalex.org/W2163290928","https://openalex.org/W2165914352","https://openalex.org/W2998023265","https://openalex.org/W4254997627","https://openalex.org/W6631868196","https://openalex.org/W6635202543","https://openalex.org/W6648274853","https://openalex.org/W6677945368","https://openalex.org/W6679372278","https://openalex.org/W6836242169"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W2116510815","https://openalex.org/W17460865","https://openalex.org/W2372578044"],"abstract_inverted_index":{"Contours":[0],"and":[1,9,122,148,158,175],"junctions":[2,13],"are":[3,51,90],"important":[4],"cues":[5],"for":[6],"perceptual":[7],"organization":[8],"shape":[10],"recognition.":[11],"Detecting":[12],"locally":[14],"has":[15],"proved":[16],"problematic":[17],"because":[18],"the":[19,26,48,57,77,87,129,136,143,182],"image":[20],"intensity":[21,58],"surface":[22],"is":[23,66],"confusing":[24],"in":[25,56,165],"neighborhood":[27],"of":[28,63,86,120,181],"a":[29,61,93,112,118],"junction.":[30],"Edge":[31],"detectors":[32,177],"also":[33],"do":[34],"not":[35],"perform":[36],"well":[37],"near":[38],"junctions.":[39,73,172],"Current":[40],"leading":[41],"approaches":[42],"to":[43,80,132,170],"junction":[44,81,176],"detection,":[45],"such":[46],"as":[47],"Harris":[49],"operator,":[50],"based":[52],"on":[53,135],"2D":[54],"variation":[55],"signal.":[59],"However,":[60],"drawback":[62],"this":[64,108],"strategy":[65],"that":[67,76,89,102,163],"it":[68],"confuses":[69],"textured":[70],"regions":[71],"with":[72],"We":[74,161],"believe":[75],"right":[78],"approach":[79],"detection":[82],"should":[83],"take":[84],"advantage":[85],"contours":[88,95],"incident":[91],"at":[92],"junction;":[94],"themselves":[96],"can":[97],"be":[98],"detected":[99],"by":[100],"processes":[101],"use":[103],"more":[104],"global":[105,123],"approaches.":[106],"In":[107],"paper,":[109],"we":[110,146],"develop":[111],"new":[113],"high-performance":[114],"contour":[115,126,156,167,174],"detector":[116,127],"using":[117],"combination":[119],"local":[121],"cues.":[124],"This":[125],"provides":[128],"best":[130],"performance":[131],"date":[133],"(F=0.70)":[134],"Berkeley":[137],"Segmentation":[138],"Dataset":[139],"(BSDS)":[140],"benchmark.":[141],"From":[142],"resulting":[144],"contours,":[145],"detect":[147],"localize":[149],"candidate":[150],"junctions,":[151],"taking":[152],"into":[153],"account":[154],"both":[155,178],"salience":[157],"geometric":[159],"configuration.":[160],"show":[162],"improvements":[164],"our":[166],"model":[168],"lead":[169],"better":[171],"Our":[173],"provide":[179],"state":[180],"art":[183],"performance.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":23},{"year":2016,"cited_by_count":30},{"year":2015,"cited_by_count":34},{"year":2014,"cited_by_count":41},{"year":2013,"cited_by_count":42},{"year":2012,"cited_by_count":54}],"updated_date":"2026-02-22T13:39:03.778224","created_date":"2025-10-10T00:00:00"}
